Every time you validate data with Pydantic v2, the data-validation library most Python apps reach for, a Rust extension does the work. Its core, pydantic-core, is built with PyO3, the same toolchain we'll use here.
Every time you validate data with Pydantic v2, the data-validation library most Python apps reach for, a Rust extension does the work.
Its core, pydantic-core, is built with PyO3, the same toolchain we'll use here.
The last step, turning the Rust result into Python objects, is the one to understand before you port anything: for a parser like this, it can cost more than the parsing itself.
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Every time you validate data with Pydantic v2, the data-validation library most Python apps reach for, a Rust extension does the work. Its core, pydantic-core, is built with PyO3, the same toolchain we'll use here. The last step, turning the Rust result into Python objects, is the one to understand before you port anything: for a parser like this, it can cost more than the parsing itself.
#[pyfunction] and #[pymodule] are the two Rust macros that do the wiring.
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